Added
11 days ago
Type
Full time
Salary
Salary not provided

Related skills

analytics sql python bi tools credit risk

πŸ“‹ Description

  • Develop and refine data-driven credit strategies that balance lending growth with approved risk
  • Analyze application intake, approvals, offers, acceptance, closing, and funded-loan conversion to
  • Evaluate risk-adjusted returns using expected credit losses, delinquency, defaults, pricing
  • Conduct cohort, vintage, funnel, segmentation, and scenario analyses to test strategies, quantify
  • Build, maintain, and improve Amazon QuickSight dashboards and other BI reporting tools to support
  • Track application and loan performance metrics, including approvals, declines, fundings

🎯 Requirements

  • At least 5 years of experience in credit risk, credit strategy, lending analytics, portfolio
  • Strong understanding of lending funnels, underwriting decisioning, portfolio credit metrics
  • Hands-on experience developing dashboards and reports using Amazon QuickSight or comparable
  • Ability to interpret large datasets and turn analytical findings into practical credit strategies
  • Working knowledge of credit scoring and predictive models, model validation and monitoring, score
  • Strong analytical and problem-solving skills, attention to detail, and the ability to communicate

🎁 Benefits

  • Remote work arrangement based in the United States.
  • Full-time opportunity within a technology-enabled lending and risk management environment.
  • Broad ownership of credit strategy, business intelligence reporting, and portfolio performance
  • Cross-functional collaboration with teams across Risk, Modeling, Analytics, Product, Technology
  • Exposure to embedded lending partnerships, institutional funding relationships, and the development
  • Opportunity to influence measurable improvements in lending conversion, credit performance, and
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